• Title/Summary/Keyword: SMEX04

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Spatio-temporal Variability of Soil Moisture Content in Semi-arid Area (건조 지역 토양수분량의 시공간 변동성 분석)

  • Hwang, Kyo-Taek;Cho, Hun-Sik;Lee, Seung-Oh;Choi, Min-Ha
    • 한국방재학회:학술대회논문집
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    • 2010.02a
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    • pp.114.2-114.2
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    • 2010
  • 지표면 근처에서의 토양수분 함유량은 지표면과 대기 사이의 물과 에너지의 순환에 큰 영향을 주기 때문에 수문 생태학적 과정에서 매우 중요한 역할을 하고 있다. Soil Moisture Experiment 2004(SMEX04) 프로젝트는 넓은 공간에서의 토양수분의 분포를 알아내기 위해 이용하고 있는 Advanced Microwave Scanning Radiometer - Earth Observing System(AMSR-E) 위성 관측 이미지로 얻은 결과를 현장 검증하기 위해 미국 Arizona 주에 2004년 6-9월에 걸쳐 추진되었으며, 프로젝트를 통해 얻은 토양수분 데이터를 이용하여 건조지역에서의 토양수분의 공간 변동성을 통계적 방법으로 분석하였다.

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Spatio-temporal Variability of Soil Moisture within Remote Sensing Footprints in Semi-arid Area (건조지역 원격탐사 footprint 내 토양수분의 시공간적 변동성 분석)

  • Hwang, Kyotaek;Cho, Hun Sik;Lee, Seung Oh;Choi, Minha
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.3B
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    • pp.285-293
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    • 2010
  • Soil moisture is a key factor to control the exchange of water and energy between the surface and the atmosphere. In recent, many researches for spatial and temporal variability analyses of soil moisture have been conducted. In this study, we analyzed the spatio-temporal variability of soil moisture in Walnut Gulch Experimental Watershed, Arizona, U.S. during the Soil Moisture Experiment 2004 (SMEX04). The spatio-temporal variability analyses were performed to understand sensitivity of five observation sites with precipitation and relationship between mean soil moisture, and its standard deviation and coefficient of variation at the sites, respectively. It was identified that log-normal distribution was superior to replicate soil moisture spatial patterns. In addition, precipitation was identified as a key physical factor to understand spatio-temporal variability of soil moisure based on the temporal stability analysis. Based on current results, higher spatial variability was also observed which was agreed with the results of previous studies. The results from this study should be essential for improvement of the remotely sensed soil moisture retrieval algorithm.